An open source and collaborative framework for extracting the data you need from websites.
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An open source and collaborative framework for extracting the data you need from websites. In a fast, simple, yet extensible way.
See scrapy official page and the official documentation for more details.
For a list of scrapy commands, simply run:
$ docker run -v $(pwd):/runtime/app aciobanu/scrapy
Since the container doesn't provide any persistence, we can use the volumes (-v) directive to share the current folder with the container.
To start a new project
$ docker run -v $(pwd):/runtime/app aciobanu/scrapy startproject tutorial
This will create a new tutorial folder in your current path.
To work on the scrapy project:
$ cd tutorial
$ docker run -v $(pwd):/runtime/app aciobanu/scrapy
Continue reading the official tutorial for a more in depth usage manual of scrapy. For more details about Docker and usage options, please see the official documentation page.
Content type
Image
Digest
Size
187.5 MB
Last updated
about 5 years ago
docker pull aciobanu/scrapy